Added metadata

README.md

@@ -8,6 +8,13 @@ licenses:
 task_categories:
 - text-classification
 
+task_ids:
+- text-classification-other-hate-speech-detection
+- text-classification-other-offensive-languagage
+
+size_categories:
+- 1K<n<10K
+
 ---
 
 # Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
@@ -18,8 +25,8 @@ The data in each language (Croatian (hr), English (en), Slovenian (sl), and topi
 
 For this dataset only the English data was used. Training segment has been split into beginning 90% (published here as training split) and end 10% (published here as dev split).
 
-# Usage in `Transformers`
 
+## Usage in `Transformers`
 ```python
 import datasets
 ds = datasets.load_dataset("classla/FRENK-hate-en","binary") 
@@ -36,6 +43,26 @@ _CLASS_MAP_BINARY = {
 ```
 The original labels are available if the dataset is loaded with the `multiclass` option:
 
+```python
+import datasets
+ds = datasets.load_dataset("5roop/FRENK-hate-en","multiclass").
+```
+
+In this case the encoding used is:
+```python
+_CLASS_MAP_MULTICLASS = {
+    'Acceptable speech': 0, 
+    'Inappropriate': 1, 
+    'Background offensive': 2,
+    'Other offensive': 3, 
+    'Background violence': 4,
+    'Other violence': 5, 
+}
+```
+
+
+The original labels are available if the dataset is loaded with the `multiclass` option:
+
 ```python
 import datasets
 ds = datasets.load_dataset("classla/FRENK-hate-en","multiclass").
@@ -54,14 +81,14 @@ _CLASS_MAP_MULTICLASS = {
 ```
 
 
-# Data structure
+## Data structure
 
 * `text`: text
 * `target`: who is the target of the hate-speech text ("no target", "commenter", "target" (migrants or LGBT, depending on the topic), or "related to" (again, the topic))
 * `topic`: whether the text relates to lgbt or migrants hate-speech domains
 * `label`: label of the text instance, see above.
 
-# Data instance
+## Data instance
 
 ```
 {'text': "Not everyone has the option of a rainbow reaction; I don't but wish I did.",
@@ -70,7 +97,7 @@ _CLASS_MAP_MULTICLASS = {
  'label': 0}
  ```
 
-
+## Citation information
 
 When using this dataset please cite the following paper: